What question did this study set out to answer?

To review the existing evidence on artificial intelligence and machine learning applications for the diagnosis, management, and prognostication of sepsis in emergency departments.

February 1, 2025Annals of Translational MedicineOpen Access

The role of artificial intelligence in sepsis in the Emergency Department: a narrative review

View Full Paper

Ask AI

Bookmark

To review the existing evidence on artificial intelligence and machine learning applications for the diagnosis, management, and prognostication of sepsis in emergency departments.
Searched PubMed, Embase, Google Scholar, and Scopus databases for studies published between January 1, 2010, and June 30, 2024.
Identified and evaluated duplicate literature assessing artificial intelligence, machine learning, deep learning, and natural language processing in adult emergency department patients with sepsis or septic shock.
Machine learning models outperformed conventional clinical scoring tools in diagnosing sepsis and predicting mortality by processing diverse variables, including vital signs, laboratory data, electrocardiograms, and clinical free text.
Real-time machine learning alert systems improved time-to-antibiotic delivery and identified distinct clinical phenotypes to tailor fluid resuscitation and critical care therapies.
Widespread clinical implementation remains limited by poor model generalizability, variable clinician acceptance, and potential risks of automation bias.

Discussion

No takes yet. Share an insight, caveat, or question.

Implication

Narrative review demonstrates machine learning models improve sepsis diagnosis and risk prediction in emergency department patients, highlighting their clinical decision support potential.

Cite This Study

Chua et al. (2025) studied this question.

synapsesocial.com/papers/6a893f215c4c6b099dec6466 https://doi.org/10.21037/atm-24-150

View Full Paper

Ask AI

Bookmark

Implication

Narrative review demonstrates machine learning models improve sepsis diagnosis and risk prediction in emergency department patients, highlighting their clinical decision support potential.

The role of artificial intelligence in sepsis in the Emergency Department: a narrative review

Key Points

Discussion

Implication

Cite This Study

The role of artificial intelligence in sepsis in the Emergency Department: a narrative review

Key Points

Discussion

Implication

Cite This Study

Also Consider

Also Consider